This study aims to identify and analyze multimodal utterances in WhatsApp stickers that potentially contain legal implications. The approaches used in this study consist of methodological and theoretical approaches. This study employs a qualitative descriptive methodological approach, while the theoretical approach applied is forensic linguistics. The data in this study consist of WhatsApp stickers containing elements of insults, hate speech related to SARA (ethnicity, religion, race, and intergroup issues), and threats. The data were obtained from WhatsApp conversations whose owners had given consent for their use as research data. The data collection methods and techniques employed include the observation method with the basic technique of tapping and advanced techniques in the form of non-participant observation, screenshotting, and note-taking. Furthermore, the data were analyzed using the matching method and distributional method. The results show that all thirty three collected data potentially contain legal implications. Twenty data have the potential to violate Article 27A of Law Number 1 of 2024 concerning defamation or attacks on a person’s honor through electronic media. Seven data potentially violate Article 28 paragraph (2) of Law Number 1 of 2024 concerning hate speech and SARA-related content. Meanwhile, six of the data potentially violate Article 29 of Law Number 1 of 2024 concerning threats and intimidation through electronic media.
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